Skip to main content

COCO Dataset Download

Project description

COCO Dataset Download

This is a Python package for easy to download Determining Specific Part of CoCo Dataset for any class name and any a count images

Installation

pip install CocoDataset==0.1.2
or in colab google cloud
!pip install CocoDataset==0.1.2

Tutorial

[source](https://colab.research.google.com/drive/1QuLLsvX-DnOcOVWxcKWglIzDnxV_OHxE?usp=sharing)

u can see tutorial in colab google drive

Usage

get images for specified class name

from coco_dataset import coco_dataset_download as cocod
class_name='person'  #class name 
images_count=50       #count of images  
annotations_path='/content/annotations/instances_train2014.json' #path of coco dataset annotations 
#call download function
cocod.coco_dataset_download(class_name,images_count,annotations_path)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

CocoDataset-0.1.2.tar.gz (2.5 kB view details)

Uploaded Source

Built Distribution

CocoDataset-0.1.2-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file CocoDataset-0.1.2.tar.gz.

File metadata

  • Download URL: CocoDataset-0.1.2.tar.gz
  • Upload date:
  • Size: 2.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.0

File hashes

Hashes for CocoDataset-0.1.2.tar.gz
Algorithm Hash digest
SHA256 e860e235494e5ba6af79ad2ca6137e5ed77afbaae18997ce16ca7cdd725240de
MD5 ae6754f740acb2790d09f7a6ba68034c
BLAKE2b-256 ec0a67809167c476c801f7aa1f50d0ec0f7e8e7c460054c1b247491e0adc1bd4

See more details on using hashes here.

File details

Details for the file CocoDataset-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: CocoDataset-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.0

File hashes

Hashes for CocoDataset-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8ccfdc19ee2adef84793e49f938bc41ddb89e3b48ce5b294cc0625a27d2cc6a3
MD5 1f9121ae6c3ddb455cea06b3c73d237b
BLAKE2b-256 cb4ea235b8369782872579eb3426d3a41e986b8c6d545a810079630c8b54d4cb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page